#MOSARv1.0
#npar
6
#Parametros_que_controlan_la_estimacion
#ival lb ub phz prior p1 p2
6 5 12 4 0 5 12
0.8 0.2 1 5 3 10 5
0 -5 5 -5 2 0 0.1
6 5 15 1 2 5 15
0.5 0.001 0.999 3 3 5 5
0.75 0.01 500 3 4 150 125
#Numero de artes de pesca con datos de composicion por tallas
#gear: 3 (1: pesqueria, 2: reclas, 3: pelaces)
3
#Opciones_para_selectividad:
#1: logistica a estimar
#2: logistica fija
1
1
1
#age50%
5
5
5
#stdage50%
0.1
0.1
0.1
#phase_selec
3
3
3
#Control para los prior de capturabilidad:
#qs=4 (1: cpue, 2:reclas, 3: pelaces, 4: mph)
#Numero de indices de abundancia:
4
#Tipo de prior (1: uniform, 2: normal):
1
2
2
2
#Valor (log(mu)):
7
-0.23
-0.5
-2
#SD (log(mu)):
0.2
0.2
0.2
0.2
#Phases q:
4
-3
3
4
#CVsurveys:
0.3
0.05
0.8
0.4
#nsizemultinomial:
150
80
20
#Otros aspectos:
#1 -> verbose
#2 -> recruitment model (1=beverton-holt, 2=rickers)
#3 -> Autocorrelation recruitment model (0=no, 1=yes)
#4 -> std in catch first phase
#5 -> std in catch in last phase
#6 -> mean fishing mortality rate to regularize the solution
#7 -> standard deviation of mean F penalty in first phases
#8 -> standard deviation of mean F penalty in last phase
0
2
0
0.3
0.1
0.1
0.07
2
#fin:enfc
999
